Applicability of variability response function for geotechnical risk assessment

M. K. Lo; Y. F. Leung

Applicability of variability response function for geotechnical risk assessment

Research output: Unpublished conference presentation (presented paper, abstract, poster) › Conference presentation (not published in journal/proceeding/book) › Academic research › peer-review

Abstract

This paper explores the use of variability response function (VRF) for risk assessment of geotechnical system under spatially variable soil properties, where the properties exhibit a range of possible autocorrelation characteristics. VRF only requires a single set of analysis, but traditional Monte Carlo simulation (MCS) requires separate sets of analyses. VRF can be estimated through a simple regression procedure, which does not require random field simulation. In a footing displacement analysis, the reliability assessments by VRF match well with those of MCS, when the soil property has relatively low variance.

Original language	English
Publication status	Published - 1 Jan 2019
Event	13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019 - Seoul, Korea, Republic of Duration: 26 May 2019 → 30 May 2019

Conference

Conference	13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019
Country/Territory	Korea, Republic of
City	Seoul
Period	26/05/19 → 30/05/19

ASJC Scopus subject areas

Civil and Structural Engineering
Statistics and Probability

Cite this

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title = "Applicability of variability response function for geotechnical risk assessment",

abstract = "This paper explores the use of variability response function (VRF) for risk assessment of geotechnical system under spatially variable soil properties, where the properties exhibit a range of possible autocorrelation characteristics. VRF only requires a single set of analysis, but traditional Monte Carlo simulation (MCS) requires separate sets of analyses. VRF can be estimated through a simple regression procedure, which does not require random field simulation. In a footing displacement analysis, the reliability assessments by VRF match well with those of MCS, when the soil property has relatively low variance.",

author = "Lo, {M. K.} and Leung, {Y. F.}",

year = "2019",

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Applicability of variability response function for geotechnical risk assessment. / Lo, M. K.; Leung, Y. F.
2019. Paper presented at 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019, Seoul, Korea, Republic of.

Research output: Unpublished conference presentation (presented paper, abstract, poster) › Conference presentation (not published in journal/proceeding/book) › Academic research › peer-review

TY - CONF

T1 - Applicability of variability response function for geotechnical risk assessment

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AU - Leung, Y. F.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - This paper explores the use of variability response function (VRF) for risk assessment of geotechnical system under spatially variable soil properties, where the properties exhibit a range of possible autocorrelation characteristics. VRF only requires a single set of analysis, but traditional Monte Carlo simulation (MCS) requires separate sets of analyses. VRF can be estimated through a simple regression procedure, which does not require random field simulation. In a footing displacement analysis, the reliability assessments by VRF match well with those of MCS, when the soil property has relatively low variance.

AB - This paper explores the use of variability response function (VRF) for risk assessment of geotechnical system under spatially variable soil properties, where the properties exhibit a range of possible autocorrelation characteristics. VRF only requires a single set of analysis, but traditional Monte Carlo simulation (MCS) requires separate sets of analyses. VRF can be estimated through a simple regression procedure, which does not require random field simulation. In a footing displacement analysis, the reliability assessments by VRF match well with those of MCS, when the soil property has relatively low variance.

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M3 - Conference presentation (not published in journal/proceeding/book)

AN - SCOPUS:85083950779

T2 - 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019

Y2 - 26 May 2019 through 30 May 2019

ER -

Applicability of variability response function for geotechnical risk assessment

Abstract

Conference

ASJC Scopus subject areas

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